The TrackML high-energy physics tracking challenge on Kaggle

The High-Luminosity LHC (HL-LHC) is expected to reach unprecedented collision intensities, which in turn will greatly increase the complexity of tracking within the event reconstruction. To reach out to computer science specialists, a tracking machine learning challenge (TrackML) was set up on Kaggl...

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Detalles Bibliográficos
Autores principales: Kiehn, Moritz, Amrouche, Sabrina, Calafiura, Paolo, Estrade, Victor, Farrell, Steven, Germain, Cécile, Gligorov, Vava, Golling, Tobias, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Moyse, Edward, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch, Yilnaz, Yetkin
Lenguaje:eng
Publicado: 2019
Materias:
Computing and Computers
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201921406037
http://cds.cern.ch/record/2699475

Internet

https://dx.doi.org/10.1051/epjconf/201921406037
http://cds.cern.ch/record/2699475

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